RNP Processes & Simulation
RNP Processes & Simulation
Summary for Northern Part of UAE
Summary for Northern Part of UAE
15th March 2004
15th March 2004
Contents
Contents
RNP Methodolody RNP Methodolody RNP Procedure RNP Procedure RNP Parameter Setting RNP Parameter Setting RNP Results Summary RNP Results SummaryContents
Contents
RNP Methodolody RNP Methodolody RNP Procedure RNP Procedure RNP Parameter Setting RNP Parameter Setting RNP Results Summary RNP Results SummaryObjectives of Radio Network Planning
Objectives of Radio Network Planning
RNP achieves balance among:
RNP achieves balance among:
Capacity: to support the predicted subscriber traffic with
Capacity: to support the predicted subscriber traffic with
sufficiently low blocking and delay
sufficiently low blocking and delay
Coverage: to ensure the availability of the service in the
Coverage: to ensure the availability of the service in the
entire service area
entire service area
Quality: tinking the capacity and the coverage and still
Quality: tinking the capacity and the coverage and still
provide the required Gos/QoS
provide the required Gos/QoS
Costs: to enable an economical network implementation
Costs: to enable an economical network implementation
and a controlled network expansion during the life cycle
and a controlled network expansion during the life cycle
of the network
What is New in
What is New in
WCDMA
WCDMA
Multiservice environment
Multiservice environment
―
― Bit rates Bit rates from 8 kbits/s from 8 kbits/s to 2 Mbit/s to 2 Mbit/s and and variable ratevariable rate ―
― Quality classesQuality classes
•• Different QoS requirementsDifferent QoS requirements
―
― Asymmetrical up and downlink trafficAsymmetrical up and downlink traffic
Air Interface
Air Interface
―
― Capacity and coverage coupled via interference marginCapacity and coverage coupled via interference margin ―
― Neighbor cells coupled Neighbor cells coupled via interferencevia interference ―
― Receiver performance depends onReceiver performance depends on
•• bit rate bit rate
•• environmentenvironment
―
What Is New in the RNP of WCDMA
WCDMA system is interference-limited. Capacity vs. Coverage
• Increasing system loading offers more capacity while increasing intra-cell interference and thus reduce coverage range (Application: Cell
breathing)
Capacity vs. Quality
• System capacity can be achieved by relaxing quality requirement for some connections (Application: Reduce BLER target value by outer-loop power control)
Coverage vs. Quality
• Coverage range can be expanded by relaxing quality requirement for some connections
(Application: Slow down data speed by AMRC or DCCC to accommodate large path loss)
Capacity
Quality Coverage
Interference
Dependency among Capacity, Coverage and Quality of WCDMA System
Planning Methodologies
There are basically two possible types of 3rd Generation
planning methods
― Static Calculation
• A deterministic algorithm is used to analyse the performance of the network configured within the planning tool
• Repeating an analysis gives the same result
― Simulation
• Statistical processes and an iterative system status
calculation used to analyse the performance of the network configured within the planning tool
• Repeating an analysis may give different results
Some tools use a combination of methods or hybrid
A statistical analysis of the network is used to derive design
thresholds
In UMTS the following mechanisms must be accounted for:
Soft handover gain (typically ~5dB at the cell edge) Interference Margins (both intra cell and inter cell) Control and signalling overheads
Fading Margins (to achieve a given coverage probability) Special technique margins(Adaptive antenna, Transmit
diversity, Mult User Detection…)
Simulation
Simulation
Simulation
Simulation
proved
proved
to
to
be
be
essential
essential
in
in
developing and deploying 3G
developing and deploying 3G
Systems
Systems
―
― Link Link Level Level SimulationSimulation
•• For physical layer algorithm For physical layer algorithm development and performance evaluationdevelopment and performance evaluation •• Its output for hardware&ASIC implementation and for higher levelIts output for hardware&ASIC implementation and for higher level
simulations simulations
•• Tools: COSSAP, SPWTools: COSSAP, SPW
―
― System Level SimulationSystem Level Simulation
•• For RRM algorithm development and RAN SystemFor RRM algorithm development and RAN System performance evaluation
performance evaluation
•• Its output for RRM Algorithm implementation and higher levelIts output for RRM Algorithm implementation and higher level simulation
simulation
•• Tools: OpeNetTools: OpeNet
―
― Network Level SimulationNetwork Level Simulation
•• For network volume prediction and network perfromanceFor network volume prediction and network perfromance evaluation
evaluation
•• analyse the performance of a ‘snapshot’ of the networkanalyse the performance of a ‘snapshot’ of the network •• Tools: Enterprise, AtollTools: Enterprise, Atoll
Simulation
Simulation
There are two types of
There are two types of
simulations
simulations
Dynamic Simulations
Dynamic Simulations
―
― Simulate UEs moving through the network in successiveSimulate UEs moving through the network in successive
timeslots timeslots
―
― Link level & System level simulations belong to dynamicLink level & System level simulations belong to dynamic
simulation simulation
Static Simulations
Static Simulations
―
― Analyse the performance of Analyse the performance of a ‘snapshot’ of the neta ‘snapshot’ of the networkwork ―
― A snapshot is an instance in A snapshot is an instance in time, with UEs itime, with UEs in statisticallyn statistically
determined places determined places
―
Static Simulations
Static Simulations
One or more snapshots of the network are taken
One or more snapshots of the network are taken
In each snapshot a mobile or terminal list is generated
In each snapshot a mobile or terminal list is generated
Various failure mechanisms are typically considered
Various failure mechanisms are typically considered
maximum mobile power maximum mobile power
maximum Node B power reachedmaximum Node B power reached
no available channelsno available channels
low pilot Ec/Iolow pilot Ec/Io
uplink/downlink interferenceuplink/downlink interference
The performance of the network is then analysed from
The performance of the network is then analysed from
the results of the snapshots carried out
the results of the snapshots carried out
Monte Carlo Simulations
Monte Carlo Simulations
Monte Carlo Simulation is a simulation Method in Noisy Monte Carlo Simulation is a simulation Method in Noisy
Environment. Environment.
It relies upon a large It relies upon a large number of statistically independentnumber of statistically independent
snapshots snapshots
The mean performance of the network over theseThe mean performance of the network over these
snapshots is then determined snapshots is then determined
The number of snapshots needed depends on theThe number of snapshots needed depends on the
performance to be simulated, the smaller the probability, performance to be simulated, the smaller the probability, the more snapshots needed
Monte Carlo Simulation
1000 iteration 1
iteration 10 iteration 100 iteration
Dynamic Simulations
Dynamic simulations look at mobiles moving through the
network
A mobile list is generated and solved for the first timeslot
The simulation may consider time to be split into:
Sample, chip periods: Link level simulation
bit periods: used for particular algorithm development
(Coding, Decoding)
timeslots (SNR considered): System level simulation
Successive timeslots are then simulated dependant upon
Comparison of methods
Static Analysis Static Simulation
Dynamic Simulation Accuracy Not very – particularly
with global margins (IS-95 experience)
Reasonable – but doesn’t deal with the dynamic network performance
Probably quite high -assuming no bad assumptions are made to speed it up Complexity Relatively straightforward to use once configured More difficult to configure and more complicated results.
Difficult to judge results.
Time Taken Shortest – as ‘quick’ as for GSM
Moderate –
depending on number of terminals and cells
Extremely long if multiple runs performed for statistical validity
Contents
RNP Methodology
RNP Procedure
RNP Parameter Setting
Radio Network Planning Flowchart
Network Dimensioning •Link Budget •Capacity Analysis •Simulation •RNP Tools Nominal Planning RF Engineering Detailed Planning Site Construction Preparation PhasePreparation Phase
In the preparation phase, prerequisites of
network planning are defined:
―
Coverage & capacity objectives
―
Selection of network planning strategies
• What Strategies
―
Initial design and operation parameters
• Geographical information
• Forecast of service distribution & traffic density
• GoS/QoS requirements
Network Dimensioning
Network dimensioning is carried out in the beginning of a
project. It results in:
― First and most rapid evaluation of the network
elements count and capacity of these elements.
― Offered traffic estimation.
― Joint capacity-coverage estimation.
Activities
― Link budget and coverage analysis ― Capacity estimation
― Estimation of the BS hardware and sites, RNCs and
equipment at different interfaces. Estimation of Iur, Iub, Iu transmission capacities.
Network Dimensioning
System Constrains ― Spectrum available ― Target Area to coverage Traffic ― Traffic type ― Traffic model ― Traffic distribution ― Forecast of growth GoS & QoS
― Coverage probability
― Blocking rate
― Delay & Delay
Variance Scale of network ― Number of sites Site configuration ― Sectorisation ― Carrier number Cost
― Cost of Node B &
RNC equipment
Assumptions for Network Dimensioning
The planning area is covered with a hexagonal grid for each
morphology.
For roads, there is no hexagonal grid, takes into account cells face to
face. Usually the length of the roads is divided by twice the cell range to find the required number of cells.
The cell range is defined for each morphology or for the roads by the
link budget of the limiting service in this morphology
The different morphologies generally considered are dense urban,
urban, suburban and rural.
No tuned propagation model available in this phase, the standard
propagation model of COST231-Hata is generally used.
Network Dimensioning-Coverage&Capacity Est.
Simple coverage estimation
― Link budgets are used to calculate maximal path losses.
― Path loss is converted into cell range for different environments. ― Cell ranges are used to estimate typical site coverage areas.
― Estimate the average site coverage area for each environment.
Simple capacity estimation
― Given an estimate of the traffic profile per subscriber we can calculate the offered traffic per km2 in each type of environment ― Given the capacity of a cell we can estimate the average sites in
Network Dimensioning
Dimensioning for UMTS
The coverage and capacity relationship in UMTS is very
close
Typically spreadsheet dimensioning tools for UMTS take a
combined iterative approach:
The range of a cell is calculated from a link budget
containing an interference margin
The area covered by one cell is then calculated from the
range
The traffic is then calculated from the area and subscriber
density
The loading of the cell is then calculated from the captured
traffic
And then the link budget is recalculated from the new
loading
Network Dimensioning
DU ??km^2 U ?? km^2 SU ??km^2 RA ??km^2 HW ??km 覆覆覆覆覆覆覆覆 Geographical information DU km2 U km2 SU km2 RA km2 HW km Adjust Service-specific Information Service Type, Proportion Service Density Service Forecast 覆覆覆覆覆覆覆覆 下行负负 覆覆覆覆 覆覆 UL loading Downwards 覆覆覆覆覆覆覆覆 覆覆覆覆覆覆覆覆 覆覆覆覆覆 UL cell range with specific UL loading DL Loading in specific circumstances Y COST231-HATA,... 覆覆 Cell Range 覆覆覆覆覆覆 Propagation Model COST231-HATA, ...If the upper limit be reached
Larger than (Capacity-limited) Less than (Coverage-limited)
Shrink the Cell
Cell Loading vs.
Maximum Allowable Value N
Add the amount of configuration (sectorization, carriers,...) Equal to Cell Range Number of Site 覆覆覆覆覆覆覆覆覆 of configuration 覆覆覆覆 SiteConfiguration
Nominal Planning
A nominal plan is initially a hypothetical wireless network
and a starting point for the cell rollout process.
Information of theoretical
sites is presented in the
nominal plan, including
following specifications:
― Site coordinates
― Antenna height above ground: this specification requires the knowledge of the average clutter height in each
morphology
― Antenna azimuths and tilts
Nominal Planning
Site location and cell configurations like azimuth and tilt of
antenna are adjusted to fulfill the requirements on
coverage.
Nominal Planning
Constraints on nominal planning:
― Performance objectives• The definition of the target zones
– Residential zones – Business zones
– Mix business/residential zones – Busy roads, avenues, highways
– Harbor, Airport, other zones with high traffic – Etc…
• For each target zone
– Priority & schedule for deployment – Expected traffic and service distribution
– Type of coverage per zone: outdoor, in car, indoor window, deep indoor, etc…
– Type of service per zone: voice, 64 UDD U/L and D/L, etc… – QoS
Nominal Planning
― Antenna Height, which is needed in the dimensioning phase and must be refined for the pre-engineering
Note that the antenna height above ground are only given as example. They depend on the morphology and link budget.
RF Engineering
For each theoretical site, a physical site will be acquired in
this phase through following steps:
Probably best to use:
Static analysis for initial candidate shortlisting Static Simulation over a small area for final
candidate selection
Static Simulation over a large area for final validation
Define search areas
Site selection Identify site options
RF Engineering: Define search areas
―The sites in a nominal plan are only imaginary.
―
To become a real network, physical sites are required.
―A suitable physical site must be found for each nominal
site.
―
A suitable physical site must amongst other things
: Give adequate radio coverage.
Have connectivity into the transmission network. Be aesthetically and politically acceptable to the
local community.
Have power nearby, good access and a co-operative
owner.
―
A survey of each nominal site is normally carried out to
identify possible site options which meet the above
criteria.
RF Engineering-Define search areas
― Guidelines have to be given to the surveyor so the options give appropriate radio coverage.
― The guideline is given in the form of a search area. Could be:
• Radius from the nominal site.
• One or more polygons following height contours.
RF Engineering: Site selection
―Radio coverage and
interference ranking
• Static analysis by the help of RF tool or relevant
function in RNP tools
―
Deployment ranking
• Site sharing
• Room for equipment
• Power supply & transmission line
• Etc …
―
Nominate a preferred
option and possibly a
backup option.
A3rd
D1st
C2nd
RF Engineering: Site acquisition
―
Run more than one site simultaneously.
―Negotiate with site owners.
―
Prepare drawings.
―Draw up leases.
―
Apply for planning permissions.
―
As soon as one option is ready to proceed
• Sign the lease
• Abandon the alternative
Detailed Planning
By approaching a practical operation environment for
radio network, more accuracy is achieved in the
simulation in this phase.
The process of detailed planning involves repeated static
analysis, static simulations by simulators based on:
― Digital map
― Tuned propagation model
― Site coordinates and parameters ― Node B parameters
― Cell parameters
― Service & traffic distribution
― Call admission and radio resource management
Detailed Planning
Contents
RNP Methodology
RNP Procedure
RNP Parameter Setting
Parameter Classification
Quite a lot of parameters need to be set during
simulation
Classified into three types
Traffic&Service Parameters
Equipment (BS, UE) Parameters
Traffic&Service Parameters
Specified by Etisalat
Radio Access Bearers Supported
― UL(kbps): CS12.2, CS64, PS64
― DL(kbps): CS12.2, CS64, PS64, PS128, PS384
Composite service supported(UL,kbps/DL,kbps)
― CS(kbps):12.2/12.2k, 64/64
― PS(kbps):64/64, 64/128, 64/384
Required Service Throughput
Activity factor Assumed : 0.67 for Speech and 1 for CS 64kbps
Service
Traffic/User (DL)
Traffic/User (UL)
Voice
12.2
0.0500
0.0500
CS64
0.0055
0.0055
PS64/64
70KB/H
30KB/H
PS64/128
140KB/H
60KB/H
Traffic Related Parameters
Parameter
DL Erlang(Erl)
Gos
Best
Effort
Retransmission ratio
1%(5% suggested)
Service Peak to Average
Factor
1.4
Activity
Factor
0.7
Relation between throughput and Traffic:
cgtor ActivityFa * rvice onRateofSe Transmissi * 3600 ratio ktoAverage TrafficPea * ) sionRate Retransmis 1 ( * 8 * + = Thouthput ubscriber ErlangPerS
Traffic per Subscriber
Service
Activity
Factor
UL
Erlang(Erl)
DL
Erlang(Erl)
Voice
0.67
0.0500
0.0500
CS64
1
0.0055
0.0055
PS64/64
0.7
0.0021
0.0049
PS64/128
0.7
0.0042
0.0049
PS64/384
0.7
0.0063
0.0033
Traffic Density
Number of subscribers
― Total Number of Subscribers accommodated in network is
decided by number of sites, propagation condition, and QOS requirements
― Active Subscribers determined by total Number of
Subscribers and the traffic of each subscriber
Subscriber distribution
― Subscribers distributed into polygons based on number of
sites;
Traffic Density
In WCDMA, AMRC (Adaptive multi-Rate Control)
for voice and DCCC( Dynamic Channel
Configuration Control) for packet service make
traffic modeling even more complex
― In the simulation, AMRC and DCCC not
considered
Activity factor
― While the subscriber is inactive during a call, less
power is required and less interference is caused. That is, the subscriber release some of resource.
Traffic Density :Total Number of Subscribers
City Number of Sites Total Number of
Subscribers
Sharjah&Ajman 27 22000
UMM 2 2320
Ras al Khammah 7 7700
Traffic Density (Number of Active Subscribers)
City Voice CS 64 PS64/64 PS128/64 PS384/64 Shj&Ajm 1100 120 108 108 72 UMM 116 13 11 11 8 Ras al Khammah 385 42 38 38 25 Fujeirah 290 32 28 28 19Number of Active subscribers derived from total number of subscribers and the traffic of each one, and is finally used in simulation
Traffic User Density among Clutters
Clutter type %in Building Weight Normalized weight
Blockbuildings 90 150 22.22 Openinurban 80 120 17.78 Residential 90 100 14.81 Denseurban 80 100 14.81 Meanurban 70 100 14.81 Industrial 80 50 7.41 Village 70 10 1.48 Rural 70 10 1.48 Parks 0 10 1.48 Open 0 10 1.48 Sea 0 5 0.74 Inlandwater 0 5 0.74 Forest 0 5 0.74
BS&UE Parameters
UE Parameters related to performance are needed in
simulation
UE is supposed to support all types of service predefined
BS parameters related performance are needeed in
simulation
BS hardware resources are considered in terms of channel
elements
System configuration will affect the performance, such as
diversity, Sectorisation, Power Control Mode.
Beside hardware resource, all parameters related to link loss budget in given capacity situations.
UE Parameters
Terminal Voice Other Services
Max Mobile Power (dBm) 21 24 TX Dynamic Range (dB) 70 70 Required Pilot Ec/Io (dB) -15 -13 Power Ctl. Step Size (dB) 1 1
Antenna Gain (dBi) 0 0
Body Loss (dB) 3 0
Noise Figure (dB) 7 7
According to 3GPP TS 25.101, four classes of output power are
specified for UE: 21dBm; 24dBm; 27dBm; 33dBm
BS Hardware Resource
NodeB in 3-sector configuration is applied in simulation
Max Number of Primary
Channels
384 for three sectors
Number of Channel
Elements
307 for three sectors
Max Number of
Handover Channel
Elements
77 for three sectors
Max Power per User
(dBm)
33 for voice and 36 for
other service
Cell Parameters
UTMS CELL Parameters
Noise Rise Limit (dB) 6
Orthogonality factor 0.55
Pilot Power (dBm) 33
Max TX Power (dBm) 43
Pri Cmn Channel Power (dBm) 31 Sec Cmn Channel Power (dBm) 31 Pri Sync Channel Power (dBm) 28 Sec Sync Channel Power (dBm) 28 Soft Handover Window (dB) 5
Noise Figure 3
Demodulation Performance
Bearers Qos(BLER) UL Eb/No DL Eb/No
CS12.2k 1% 2.85 7.16
CS 64k 0.2% 1.2 4.36
PS 64k 5% 0.84 4.08
PS 128k 5% 0.14 3.48
Antenna Parameters
Sectorization: 3-sector configuration
Four types of antenna used in northern part Antenna Gain (dB) Horizontal Beam Width Vertical Beam Width GB 5162100 16 66.5 5.5 GB 5165100 17 64.5 6.5 TG D3 16.8 65.5 5 MG D3 15.8 61 5.5
Diversity
Diversity mode
― Uplink receive diversity used in simulation
• two-antenna Diversity
• Rake Receiver & maximum Ratio Combining • Macro Diversity
― Downlink receive diversity used in simulation
• Rake Receiver & maximum Ratio Combining • Macro Diversity
― Transmit diversity: not used in simulation
• TSTD (Time Switched Transmit Diversity) • STTD (Space time Transmit Diversity) • Closedloop transmit diversity
TMA&Cable
Tower mounted amplifier (TMA) not used in simulation
― TMA can compensate for cable loss in uplink, thus improveuplink coverage
― TMA causes attenuation to Downlink transmit Power, thus
decrease downlink coverage and capacity.
― Nominal Insertion loss is 0.5dB, connector loss is 0.2dB;
Nominal gain is 12dB.
Cable
― 7/8 inch type is assumed in simulation ― Nominal loss : 6dB/100meters
― Length: Site height+5meters TMA only suitable to
uplink coverage limited situation
Propagation: Morphology Information
― Generally, there are 5 types of planning area:
• Dense Urban • Urban
• Suburban • Rural Area • Highway
― The type of area impacts:
• Mean penetration loss
• Standard deviation of slow fading • path loss
― Propagation properties should be modeled for simulation, or
Channel model
―
The channel model defines the number of signal
path, relative path losses and delay variances to
abstract the wireless channel.
―
According to specifications of 3GPP R4
TR25.943 V4.0.0, typical channel models are
used as followings:
• Static: no multipath (line-of-sight)
• TU3: typical urban area, pedestrian, 3km/h • TU50: typical urban area, vehicle, 50km/h • TU120: typical urban area, vehicle, 120km/h • RA120: rural area, vehicle, 120km/h
• RA250: rural area, vehicle, 250km/h • HT120: hilly terrain, vehicle, 120km/h
Channel model (Ctn.)
―
Values of parameters varies with the channel in
the wireless environment. The variances are
acquired generally by the link simulation.
Link performance: required Eb/No in both ends of the channel
Downlink interference margin: due to the variance of orthogonal factor in different channel environments
Fast fading margin (Power control headroom): due to different link performance
Soft handover gain over fast fading margin: due to different link performance
Scenario of Link Budget
负 Receiver Sensitivity
负 PDCH_Max
负 Minimum Required Signal Strength
负 EiRP
负 PUE_Max •Slow Fading Margin
• Penetration Loss TX RX Duplexer Antenna UE PL_DL PL_UL • Body Loss • Interference Margin • Fast Fading Margin • Margin for Background Noise TX RX Duplexer Cable Antenna Node B • Interference Margin • Fast Fading Margin • Margin for
Background Noise
Soft Handover Area
Propagation Model :COST231-Hata
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COST231-Hata model applied to large and small
Propagation Model: Asset Standard Macro Model
Asset Standard Macro Model is the general type of COST-231-Hata for calibration
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Carrier Wave (CW) Measurements
CW measurements are accurate
radio measurements used to calibrate propagation models.
A number of temporary test sites
are used for the test transmissions.
Signal strength measurements
and GPS fixes are made along predefined routes.
These measurements must be
averaged before they can be used for model calibration.
CW Test Sites
A typical network would require 4 different propagation models
eg.
― Dense Urban ― Urban
― Suburban ― Rural
The test sites used for propagation modeling should:
― Be representative of typical cellular sites. ― Should be free of obstacles.
Sufficient measurements must be made in each clutter type for
the model to be valid.
Typically the distances driven for each site would be in the order
of
― 80km per urban test site. ― 160km per rural test site.
CW Measurement
Carrier wave measurements are
made from test transmitters.
The measurements are plotted
vs. log(distance).
A straight line is fitted through
the data.
A basic y=mx +c formula can be
used to estimate path loss.
The formula can be modified to
account for other factors eg. Tx height, Rx height & terrain
effects.
Referent Model: Cost231-Hata at 2GHz
Model K1 K2 K3 K4 K5 K6 K7 Dense Urban 165.55 44.90 -2.93 0 -13.82 -6.55 0 Urban 162.55 44.90 -2.93 0 -13.82 -6.55 0 Suburban 150.28 44.90 -2.93 0 -13.82 -6.55 0 Rural(Qu asi-open) 135.04 44.90 -2.93 0 -13.82 -6.55 0 Rural (open) 130.04 44.90 -2.93 0 -13.82 -6.55 0Correction factors given in Okumura-Hata Model are used for Suburban and Rural
Contents
RNP Methodology
RNP Procedure
RNP Parameter Setting
Coverage & Capacity Objectives
Coverage Area: Totally 254.16 Sq. Km. 2 sites in
East Coast not considered
覆 Sharjah Ajman UMM Ras Khammah Fujeirah
Number of sites
Dense Urban Urban
Total (sq.km.)
Coverage Reliability: Area Coverage Probability no less than
95% for voice service
4 2 0
2 2
Coverage & Capacity Objectives (ctn)
Traffic density: Active Users for each
Service determined by number of sites
City Voice CS 64 PS64/64 PS128/6 4 PS384/6 4 Shj&Ajm 1100 120 108 108 72 UMM 116 13 11 11 8 Ras al Khammah 385 42 38 38 25 Fujeirah 290 32 28 28 19
Propagation Model: Tuned Results
Model K1 K2 K3 K4 K5 K6 K7 Dense Urban(Shj) 151.8 4 59.90 -2.93 0 -13.82 -6.55 0 Dense Urban(Ajm ) 148.8 4 59.90 -2.93 0 -13.82 -6.55 0 Urban 139.7 4 53.11 -2.93 0 -13.82 -6.55 0 Suburban 132.91 53.64 -2.93 0 -13.82 -6.55 0 Rural 126.0 0 48.75 -2.93 0 -13.82 -6.55 0 Korfukan 144.31 54.92 -2.93 0 -13.82 -6.55 0 Model for Korfukan is inaccurate due to out-of-date digital
Propagation Model: Comparson
Model Tuned Cost 231-Hata
K1 K2 K3 K4 Dense Urban 151.8 4 59.90 165.55 44.90 Urban 139.74 53.11 162.55 44.90 Suburban 132.91 53.64 150.28 44.90 Rural 126.0 0 48.75 130.04 44.90
Constant values of K1 are less than that of standard model,
caused mainly by Clutter definations
Slope values of K2 are larger than that of standard model.
Clutter Offset
Clutter Type Offset (dB) Open 0 Sea -1 Inlandwater -1 meanUrban 0 Forest 15 BlockBuilding 7 rural -0.9
Composite Simulation Results
Coverage Probability CS 12/ 12kbps CS 64/ 64kbps PS 64/ 64kbps PS 64/ 128kbps PS 64/ 384kbps Shj&Ajm 92.59% 87.35% 82.4% 67.83% 36.53% UMM 95.24% 92.05% 85.30% 66.36% 34.72% Ras al Khammah 95.68% 88.98% 83.28% 67.36% 38.51% Fujeirah 93.93% 88.63% 76.82% 65.29% 30.99%Simulation Result Analysis
Coverage Probability near target value of
95% for 12.2K Service.
UMM contains 2 sites, less interference to
each other, hence get good performance.
Put less users per site in Ras al Khammah
than in UMM, performance is acceptable.
Due to propagation condition, network in
Engineering Parameter Optimization
Azimuth and tilt are key parameters to determine theintercell interference, coverage, and hence capacity
The optimal Tilts related to Ant. Height and cell radius. The optimization of azimuths and Tilts: Best Pilot Strength
in Serving area;
In suburban, rural and the boundary of network, coverage
capability needs to be considered.
Optimization of azimuth needs to consider Operator's
experience and knowledge: traffic distribution and near- by obstacles
Please refer simulation documents for detailed adjustments
Simulation Results after Adjustment
Coverage Probability CS 12/ 12kbps CS 64/ 64kbps PS 64/ 64kbps PS 64/ 128kbps PS 64/ 384kbps Shj&Ajm 95.59% 91.69% 88.61% 76.42% 44.89% UMM 95.24% 92.05% 85.30% 66.36% 34.72% Ras al Khammah 95.68% 88.98% 83.28% 67.36% 38.51% Fujeirah 93.93% 88.63% 76.82% 65.29% 30.99%Improvement through Adjustment
Coverage Probability CS 12/ 12kbps CS 64/ 64kbps PS 64/ 64kbps PS 64/ 128kbps PS 64/ 384kbps Shj&Ajm 3.00% 4.34% 6.21% 8.59% 8.36% UMM 2.16% 5.14% 9.76% 16.93% 11.47% Ras al Khammah 2.17% 0.32% 2.57% 6.55% 5.78% Fujeirah 1.97% 0.97% 7.23% 11.24% 10.59%Further Considering
Downtilts affect coverage, capacity, handover region and
pilot pollution, so downtilt adjustments are strongly recommended.
Polygon definition affects azimuth adjustment. Coverage
should be considered in initial stage. The suggestion can only be taken as a reference.
Sites with big antenna height are expected to adjust with
priority.
Omni-sites need to be replaced in time, because they
severely interfere neighbors.
The engineering parameters are expected to keep
up-to-date during adjustment
RNP simulation can only model the real network to some accuracy, detail suggestions will be available after first round radio network optimization